Sign upLog in
See more jobs

AI Engineers

PeopleNTech LLC

  • Santa Clara, CA
  • 30+ days ago
  • $62 Per Hour

Highlights

Key Responsibilities : AI Platform Architecture: Design, develop, and deliver enterprise-grade AI platform capabilities that support diverse deployment models, including SaaS and federated environments. Agentic Workflows: Build and integrate Model Context Protocol (MCP) based agentic services, designing complex workflows and reusable application components for widespread internal use.

Numbers & Facts

LocationSanta Clara, CA

Description

Role : AI Engineers
Location : Charlotte NC (Onsite)
Hire type : Contract
Rate : $62/hr.
Indents :
PSL-US301201-5-1
PSL-US301201-6-1
PSL-US301201-6-2
PSL-US301201-6-3


The ideal candidate is an expert in Python and React, with a deep understanding of Agentic workflows, MCP-based services, and RAG architectures.

Key Responsibilities:
  • AI Platform Architecture: Design, develop, and deliver enterprise-grade AI platform capabilities that support diverse deployment models, including SaaS and federated environments.
  • Agentic Workflows: Build and integrate Model Context Protocol (MCP) based agentic services, designing complex workflows and reusable application components for widespread internal use.
  • Full-Stack Development: Develop and maintain scalable, high-performance backends using Python and responsive, modern frontends using React.
  • Advanced AI Implementation: Lead the development of RAG-based systems, autonomous AI agents, and diverse data-driven use cases to solve complex business problems.
  • Security & DevOps: Integrate robust security protocols, comprehensive logging, and automated CI/CD pipelines to ensure platform stability and compliance.
  • Cross-Functional Leadership: Collaborate with product managers, data scientists, and security teams to deliver seamless, production-ready AI solutions from concept to deployment.
Must-Have Qualifications:
  • Technical Proficiency: Strong expertise in Python (backend) and React (frontend) for building large-scale web applications.
  • AI Specialization: Proven experience building RAG systems and orchestrating AI Agents.
  • Protocol Knowledge: Practical experience with MCP (Model Context Protocol) and building component-based architectures.
  • Enterprise Standards: Deep understanding of enterprise-grade security, logging, and infrastructure automation (CI/CD).
  • Deployment Experience: Hands-on experience delivering and managing capabilities in SaaS and federated environments.
  • Problem Solving: Ability to translate complex data-driven requirements into scalable software solutions.
Good-to-Have:
  • Experience with containerization (Docker, Kubernetes).
  • Knowledge of vector databases (e.g., Pinecone, Milvus) and LLM observability tools.
  • Experience working in a fast-paced IT services or product-led organization

Similar Jobs

See more jobs